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DICTA
2003
13 years 9 months ago
Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Lei Jiang, Wenhui Yang
ICIP
1998
IEEE
13 years 11 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ICIP
2005
IEEE
14 years 9 months ago
Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior
In this paper, a nonparametric Bayesian estimator in the wavelet domain using the Bessel K Form (BKF) distribution will be presented. Our first contribution is to show how the BKF...
Larbi Boubchir, Jalal Fadili
TIP
2008
127views more  TIP 2008»
13 years 7 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu
ICIP
2010
IEEE
13 years 5 months ago
Undecimated haar thresholding for poisson intensity estimation
We propose a novel algorithm for denoising Poisson-corrupted images, that performs a signal-adaptive thresholding of the undecimated Haar wavelet coefficients. A Poisson's un...
Florian Luisier, Thierry Blu, Michael Unser